Error while trying to view a 3 dimensional numpy array

[soares7vinicius]

Steps to cause the bug to occur

1. Open Python Interactive's variables table
2. Click to view a 3D ndarray

Actual behavior

Get the following error:

Error: Failure during variable extraction: --------------------------------------------------------------------------- ValueError Traceback (most recent call last) ~/Documents/file.py in <module> 51 _VSCODE_df = _VSCODE_pd.Series.to_frame(_VSCODE_evalResult) 52 elif _VSCODE_targetVariable["type"] == "ndarray": ---> 53 _VSCODE_df = _VSCODE_pd.DataFrame(_VSCODE_evalResult) 54 elif hasattr(_VSCODE_df, "toPandas"): 55 _VSCODE_df = _VSCODE_df.toPandas() ~/anaconda3/envs/tcc/lib/python3.7/site-packages/pandas/core/frame.py in __init__(self, data, index, columns, dtype, copy) 462 mgr = init_dict({data.name: data}, index, columns, dtype=dtype) 463 else: --> 464 mgr = init_ndarray(data, index, columns, dtype=dtype, copy=copy) 465 466 # For data is list-like, or Iterable (will consume into list) ...

Expected behavior

Show the variable data

Jupyter and/or Python environment

• Jupyter server running: Local
• Extension version: 2020.5.86398
• VS Code version: 1.45.1
• Setting python.jediEnabled: true
• Setting python.languageServer: Jedi
• Python and/or Anaconda version: 3.7.7
• OS: Linux Manjaro 19
• Virtual environment: conda

[IanMatthewHuff]

@soares7vinicius Thanks for reporting this, I repro the same thing. Right now our data viewer doesn't really handle 3D arrays, so it's not something that we currently support (but we are looking into this). But we should be providing a better error message here to inform users.

[RELNO]

Same here:

clicking the data viewer results with an error:

ValueError Traceback (most recent call last) XXX.py in <module> 51 _VSCODE_df = _VSCODE_pd.Series.to_frame(_VSCODE_evalResult) 52 elif _VSCODE_targetVariable["type"] == "ndarray": ---> 53 _VSCODE_df = _VSCODE_pd.DataFrame(_VSCODE_evalResult) 54 elif hasattr(_VSCODE_df, "toPandas"): 55 _VSCODE_df = _VSCODE_df.toPandas() ___PATH___/lib/python3.7/site-packages/pandas/core/frame.py in __init__(self, data, index, columns, dtype, copy) 462 mgr = init_dict({data.name: data}, index, columns, dtype=dtype) 463 else: --> 464 mgr = init_ndarray(data, index, columns, dtype=dtype, copy=copy) 465 466 # For data is list-like, or Iterable (will consume into list)...

[soares7vinicius]

I think something like Spyder's array viewer could be implemented. In Spyder there is an option to select the axis to view.

[rajkundu]

+1, This would be an awesome addition to offer the same functionality as (if not better than) Spyder

[joyceerhl]

You can now inspect multidimensional tensors and ndarrays in the Jupyter extension's data viewer as of the April 2021 release: https://devblogs.microsoft.com/python/jupyter-in-visual-studio-code-april-2021-release/